Predicting user interest region for collaborative graphics design systems in ubiquitous environment

Authors:
Jiajun Bu;Bo Jiang;Chun Chen;Jianxv Yang
Affiliations:
College of Computer Science, Zhejiang University, Hangzhou, P.R. China;College of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, P.R. China;College of Computer Science, Zhejiang University, Hangzhou, P.R. China;College of Computer Science, Zhejiang University, Hangzhou, P.R. China
Venue:
CRIWG'06 Proceedings of the 12th international conference on Groupware: design, implementation, and use
Year:
2006

Citing 7
Cited 0

WYSIWIS revised: early experiences with multiuser interfaces

ACM Transactions on Information Systems (TOIS)
Consistency maintenance in real-time collaborative graphics editing systems

ACM Transactions on Computer-Human Interaction (TOCHI)
Achieving undo in bitmap-based collaborative graphics editing systems

CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Automatic browsing of large pictures on mobile devices

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Contrast-based image attention analysis by using fuzzy growing

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Learning user interest for image browsing on small-form-factor devices

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Remote control point motion prediction in internet-based real-time collaborative graphics editing systems

CRIWG'05 Proceedings of the 11th international conference on Groupware: design, Implementation, and Use

Quantified Score

Hi-index	0.00

Visualization

Abstract

The fast expansion of wireless networks and mobile devices enables portable devices to join collaborative graphics design conveniently. The limitation of display size and computational power of these embedded devices makes it hard for mobile users to browse large pattern that renewed in real time efficiently. We present a novel user interest region prediction algorithm to forecast user's intention in the near future. Related experiment was carried out to test the effectiveness of the algorithm. Results show that the algorithm can well predict mobile user's interest regions. Based on the prediction, only sub-patterns and operations that might be interested to user are issued to the embedded sites. User study results indicate that the proposed approach is effective and the feasibility of the collaborative graphics design system in ubiquitous environment is enhanced.